import matplotlib.pyplot as plt
import numpy as np
# Fixing random state for reproducibility
np.random.seed(19680801)
fig, ax = plt.subplots()
# Example data
people = ('Tom', 'Dick', 'Harry', 'Slim', 'Jim')
y_pos = np.arange(len(people))
performance = 3 + 10 * np.random.rand(len(people))
error = np.random.rand(len(people))
ax.barh(y_pos, performance, xerr=error, align='center')
ax.set_yticks(y_pos, labels=people)
ax.invert_yaxis() # labels read top-to-bottom
ax.set_xlabel('Performance')
ax.set_title('How fast do you want to go today?')
plt.show()
import seaborn as sns
import matplotlib as mpl
import matplotlib.pyplot as plt
sns.set_theme(style="ticks")
diamonds = sns.load_dataset("diamonds")
f, ax = plt.subplots(figsize=(7, 5))
sns.despine(f)
sns.histplot(
diamonds,
x="price", hue="cut",
multiple="stack",
palette="light:m_r",
edgecolor=".3",
linewidth=.5,
log_scale=True,
)
ax.xaxis.set_major_formatter(mpl.ticker.ScalarFormatter())
ax.set_xticks([500, 1000, 2000, 5000, 10000])
[<matplotlib.axis.XTick at 0x1b2675c9d90>, <matplotlib.axis.XTick at 0x1b269abca90>, <matplotlib.axis.XTick at 0x1b269dc1b10>, <matplotlib.axis.XTick at 0x1b269b02c90>, <matplotlib.axis.XTick at 0x1b269e0a5d0>]
import plotly.express as px
import plotly.offline as offline
import plotly.graph_objs as go
offline.init_notebook_mode()
df = px.data.medals_long()
fig = px.bar(df, x="medal", y="count", color="nation",
pattern_shape="nation", pattern_shape_sequence=[".", "x", "+"])
fig.show()
The link for this 🔗 GitHub REPO.
| Name of dog | It's origin |
|---|---|
| Labrador | United Kingdom |
| German Shepherd | Germany |
CLICK HEREE -> 🐶 DOGGG!!!